Search Results - "OmidYeganeh, Mona"

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  1. 1

    Evaluation of an automated thresholding algorithm for the quantification of paraspinal muscle composition from MRI images by Fortin, Maryse, Omidyeganeh, Mona, Battié, Michele Crites, Ahmad, Omair, Rivaz, Hassan

    Published in Biomedical engineering online (22-05-2017)
    “…The imaging assessment of paraspinal muscle morphology and fatty infiltration has gained considerable attention in the past decades, with reports suggesting an…”
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    Journal Article
  2. 2

    Cytoarchitectonic Maps of the Human Metathalamus in 3D Space by Kiwitz, Kai, Brandstetter, Andrea, Schiffer, Christian, Bludau, Sebastian, Mohlberg, Hartmut, Omidyeganeh, Mona, Massicotte, Philippe, Amunts, Katrin

    Published in Frontiers in neuroanatomy (08-03-2022)
    “…The human metathalamus plays an important role in processing visual and auditory information. Understanding its layers and subdivisions is important to gain…”
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    Journal Article
  3. 3

    A Simulation Toolkit for Testing the Sensitivity and Accuracy of Corticometry Pipelines by OmidYeganeh, Mona, Khalili-Mahani, Najmeh, Bermudez, Patrick, Ross, Alison, Lepage, Claude, Vincent, Robert D., Jeon, S., Lewis, Lindsay B., Das, S., Zijdenbos, Alex P., Rioux, Pierre, Adalat, Reza, Van Eede, Matthijs C., Evans, Alan C.

    Published in Frontiers in neuroinformatics (26-07-2021)
    “…In recent years, the replicability of neuroimaging findings has become an important concern to the research community. Neuroimaging pipelines consist of myriad…”
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    Journal Article
  4. 4

    Yawning Detection Using Embedded Smart Cameras by Omidyeganeh, Mona, Shirmohammadi, Shervin, Abtahi, Shabnam, Khurshid, Aasim, Farhan, Muhammad, Scharcanski, Jacob, Hariri, Behnoosh, Laroche, Daniel, Martel, Luc

    “…Yawning detection has a variety of important applications in a driver fatigue detection, well-being assessment of humans, driving behavior monitoring, operator…”
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    Journal Article
  5. 5

    Video Keyframe Analysis Using a Segment-Based Statistical Metric in a Visually Sensitive Parametric Space by Omidyeganeh, M., Ghaemmaghami, S., Shirmohammadi, S.

    Published in IEEE transactions on image processing (01-10-2011)
    “…This paper addresses a new approach to the keyframe extraction problem employing generalized Gaussian density (GGD) parameters of wavelet transform subbands…”
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    Journal Article
  6. 6

    A Bitrate-Conservative Fast-Adjusting Rate Controller for Video Conferencing by Javadtalab, Abbas, Omidyeganeh, Mona, Shirmohammadi, Shervin, Hosseini, Mojtaba

    “…Widely-used Rate Control (RC) algorithms, such as those in the H.264 encoder, have certain shortcomings for time-sensitive applications such as High Definition…”
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    Conference Proceeding
  7. 7

    Face identification using wavelet transform of SIFT features by Omidyeganeh, Mona, Shirmohammadi, Shervin, Laganiere, Robert, Youmaran, Richard, Javadtalab, Abbas

    “…Wavelet transform provides a sparse representation of a signal and it has been shown that it closely matches with the human perceptual system [1, 2]. This…”
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    Conference Proceeding
  8. 8

    A rate control algorithm for ×264 high definition video conferencing by Javdtalab, Abbas, Omidyeganeh, Mona, Shirmohammandi, Shervin, Hosseini, Mojtaba

    “…Current rate control algorithms developed in the H.264 encoder are unable to address High Definition video streaming requirements over best effort networks…”
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    Conference Proceeding
  9. 9

    A Robust Wavelet-based Approach to Fingerprint Indentification by Omidyeganeh, M., Javadtalab, A., Ghaemmaghami, S., Shirmohammadi, S.

    “…A robust fingerprint recognition system based on marginal statistics of 2D wavelet transform is introduced which significantly improves the accuracy of…”
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    Conference Proceeding
  10. 10

    On the suitability of current x264 rate controller algorithms for high definition video conferencing by Javadtalab, A., Omidyeganeh, M., Shirmohammandi, S., Hosseini, M.

    “…In this paper we analyze current H.264 rate distortion algorithms (RD), specifically those developed in the x264 codec which is an open source and high…”
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    Conference Proceeding
  11. 11

    Transparent non-intrusive multimodal biometric system for video conference using the fusion of face and ear recognition by Javadtalab, A., Abbadi, L., Omidyeganeh, M., Shirmohammadi, S., Adams, C. M., El Saddik, A.

    “…Mono-modal biometric systems face many limitations such as noisy data, intra-class variations, distinctiveness, spoof attacks, non-universality, and…”
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    Conference Proceeding